Validating method classifying digitally modulated signals

In multi-scale systems the number of active states at any moment may constitute only a small fraction of the total computational space, which results in a significant performance boost. Superresolution (SR) image enhancement is obtained from the processing of observed multiple low-resolution (LR) images.

In the presence of strong nonlinearities and numerical noise (e.g., in particle-based models) event-driven integration has been shown to preserve numerical accuracy and stability better than formally higher order explicit schemes. Karimabadi, Self-adaptive time integration of flux-conservative equations with sources, J. Model-based SR techniques extract additional information from the sequence of LR images given knowledge on the underlying physics of the imaging process.

During sudden stopping, STN LFP-to-M1 gamma coupling rapidly decreased consistent with a gating function of interregional neuronal communication.

I will discuss possible roles of gamma-rhythmic activity during movement initiation and stopping.

Our work suggests that the temporal structure of firing activity in the cortico-basal ganglia network is critical for flexible motor control.

In the first part of my talk, I will discuss a study showing alternating modulation of subthalamic nucleus beta oscillations recorded from Parkinson’s disease patients in a stepping task.In order to increase the efficiency of generating low vs high resolution training data, we used manually acquired image pairs to generate a model for downsampling large amounts of high resolution data.Testing was performed by comparing the resolution of the upsampled output from the DNN with its corresponding “ground truth” high-resolution image.Parallelization of event-driven simulations is achieved via Preemptive Event Processing (PEP). Furthermore, as the pixel size is decreased, the amount of light available also decreases, generating shot noise that degrades image quality.PEP effectively generalizes time stepping by automatically choosing irregular time levels and processing at each level only changing (“active”) states. An alternative approach for enhancing spatial resolution, beyond physical limitations of the image sensing apparatus, is to use signal processing techniques to arrive at an HR image.

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